Frauke Alves

9.2k total citations · 1 hit paper
169 papers, 5.7k citations indexed

About

Frauke Alves is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Frauke Alves has authored 169 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 52 papers in Biomedical Engineering and 39 papers in Oncology. Recurrent topics in Frauke Alves's work include Nanoplatforms for cancer theranostics (30 papers), Advanced X-ray Imaging Techniques (25 papers) and Cancer Research and Treatments (15 papers). Frauke Alves is often cited by papers focused on Nanoplatforms for cancer theranostics (30 papers), Advanced X-ray Imaging Techniques (25 papers) and Cancer Research and Treatments (15 papers). Frauke Alves collaborates with scholars based in Germany, Italy and France. Frauke Alves's co-authors include Wolfgang F. Vogel, Tony Pawson, Gerald Gish, Christian Dullin, Joanna Napp, Marta Zientkowska, Luis A. Pardo, M. Andrea Markus, Attila Aszódi and Walter Stühmer and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Frauke Alves

158 papers receiving 5.6k citations

Hit Papers

The Discoidin Domain Rece... 1997 2026 2006 2016 1997 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frauke Alves 2.5k 1.2k 1.1k 853 820 169 5.7k
Stephen J. Kennel 3.4k 1.4× 857 0.7× 1.2k 1.1× 440 0.5× 2.1k 2.6× 203 6.8k
Markus Essler 1.8k 0.7× 1.8k 1.5× 299 0.3× 561 0.7× 3.5k 4.3× 219 7.6k
Steven Brem 2.9k 1.1× 1.5k 1.2× 319 0.3× 716 0.8× 1.3k 1.6× 193 7.7k
Ambros J. Beer 1.3k 0.5× 1.8k 1.5× 1.3k 1.1× 752 0.9× 5.8k 7.0× 225 9.9k
Einar K. Rofstad 2.6k 1.0× 1.6k 1.3× 214 0.2× 1.3k 1.5× 2.2k 2.7× 199 6.7k
Dennis E. Hallahan 6.5k 2.6× 3.2k 2.6× 393 0.3× 1.3k 1.5× 2.8k 3.4× 267 13.3k
John Laterra 5.2k 2.1× 2.1k 1.8× 506 0.4× 474 0.6× 2.5k 3.0× 214 11.3k
Guus A.M.S. van Dongen 2.4k 0.9× 2.9k 2.5× 294 0.3× 947 1.1× 5.0k 6.1× 184 8.6k
Zibo Li 3.6k 1.4× 2.0k 1.7× 913 0.8× 2.8k 3.3× 3.3k 4.0× 330 11.3k
Ian C. MacDonald 3.4k 1.3× 4.2k 3.5× 777 0.7× 1.2k 1.4× 687 0.8× 70 8.7k

Countries citing papers authored by Frauke Alves

Since Specialization
Citations

This map shows the geographic impact of Frauke Alves's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Frauke Alves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frauke Alves more than expected).

Fields of papers citing papers by Frauke Alves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frauke Alves. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Frauke Alves. The network helps show where Frauke Alves may publish in the future.

Co-authorship network of co-authors of Frauke Alves

This figure shows the co-authorship network connecting the top 25 collaborators of Frauke Alves. A scholar is included among the top collaborators of Frauke Alves based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frauke Alves. Frauke Alves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dullin, Christian, et al.. (2025). Autonomous bioluminescence emission from transgenic mice. Science Advances. 11(28). eads0463–eads0463.
2.
Ferrari, Daniele, Luis J. Cruz, Fernando Alberício, et al.. (2025). Anti-Tumor Efficacy of a Mesothelin-Based Nanovaccine in a KPC Orthotopic Mouse Model of Pancreatic Cancer. Vaccines. 13(3). 314–314. 2 indexed citations
3.
Arora, B, Ajinkya Kulkarni, M. Andrea Markus, et al.. (2024). Label-free quantification of imaging features in the extracellular matrix of left and right-sided colon cancer tissues. Scientific Reports. 14(1). 7510–7510. 2 indexed citations
4.
Kulkarni, Ajinkya, et al.. (2024). A Curated Cell Life Imaging Dataset of Immune-enriched Pancreatic Cancer Organoids with Pre-trained AI Models. Scientific Data. 11(1). 820–820. 5 indexed citations
5.
Möbius, Wiebke, et al.. (2024). High‐Load Core@Shell Nanocarriers with Irinotecan and 5‐Fluorouracil for Combination Chemotherapy in Colorectal Cancer. SHILAP Revista de lepidopterología. 4(11). 2400196–2400196. 1 indexed citations
7.
Ferrari, Daniele, Míriam Royo, Gerardo Acosta, et al.. (2024). Impact of N-Terminal PEGylation on Synthesis and Purification of Peptide-Based Cancer Epitopes for Pancreatic Ductal Adenocarcinoma (PDAC). ACS Omega. 9(32). 34544–34554. 1 indexed citations
8.
Bosio, Andreas, et al.. (2024). Colorectal cancer-associated fibroblasts inhibit effector T cells via NECTIN2 signaling. Cancer Letters. 595. 216985–216985. 16 indexed citations
9.
Longo, Elena, Ruth Meyer, Philipp Nolte, et al.. (2024). Characterization of transient and progressive pulmonary fibrosis by spatially correlated phase contrast microCT, classical histopathology and atomic force microscopy. Computers in Biology and Medicine. 169. 107947–107947. 6 indexed citations
10.
Missbach‐Guentner, Jeannine, et al.. (2024). Optical clearing: an alternative sample preparation method for propagation based phase contrast μCT. Frontiers in Physics. 12.
11.
Hardt, Olaf, et al.. (2023). Basal‐like mammary carcinomas stimulate cancer stem cell properties through AXL‐signaling to induce chemotherapy resistance. International Journal of Cancer. 152(9). 1916–1932. 4 indexed citations
12.
Niemeyer, Christof M., et al.. (2023). High‐Load Gemcitabine Inorganic–Organic Hybrid Nanoparticles as an Image‐Guided Tumor‐Selective Drug‐Delivery System to Treat Pancreatic Cancer. Advanced Materials. 35(46). e2305151–e2305151. 20 indexed citations
13.
Müller, Claudia, Stefan Kalkhof, Henning Urlaub, et al.. (2022). ROBO3s: a novel ROBO3 short isoform promoting breast cancer aggressiveness. Cell Death and Disease. 13(9). 762–762. 2 indexed citations
14.
Osterhoff, Markus, et al.. (2020). 3D virtual histology of human pancreatic tissue by multiscale phase-contrast X-ray tomography. Journal of Synchrotron Radiation. 27(6). 1707–1719. 33 indexed citations
16.
Коростылев, Е. В., et al.. (2018). Next-Generation Theranostic Agents Based on Polyelectrolyte Microcapsules Encoded with Semiconductor Nanocrystals: Development and Functional Characterization. Nanoscale Research Letters. 13(1). 30–30. 19 indexed citations
17.
Bode, Julia, Alyona Sukhanova, Svetlana Bozrova, et al.. (2018). Single- and two-photon imaging of human micrometastases and disseminated tumour cells with conjugates of nanobodies and quantum dots. Scientific Reports. 8(1). 4595–4595. 32 indexed citations
18.
Behnke, Thomas, Christian Würth, Christian Dullin, et al.. (2012). Target-specific nanoparticles containing a broad band emissive NIR dye for the sensitive detection and characterization of tumor development. Biomaterials. 34(1). 160–170. 48 indexed citations
19.
Leifheit‐Nestler, Maren, Marco R. Schroeter, I‐Fen Cheng, et al.. (2009). Leptin Enhances the Potency of Circulating Angiogenic Cells Via Src Kinase and Integrin αvβ5. Arteriosclerosis Thrombosis and Vascular Biology. 30(2). 200–206. 61 indexed citations
20.
Krøll, Jens, Frauke Alves, Claudia Prahst, et al.. (2006). Dissociation of Angiogenesis and Tumorigenesis in Follistatin- and Activin-Expressing Tumors. Cancer Research. 66(11). 5686–5695. 72 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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